Machine Learning Engineer — AI Architecture Research
Tasks
- Analyze model behavior and failure modes
- Collaborate on deployable and efficient architectures
- Contribute to research notes benchmarks and open source
- Prototype end to end model implementations
- Read reproduce and extend research papers
- Research and develop neural network architectures
- Run architecture level experiments
Perks/Benefits
- Equity
- Fast feedback loops
- Meaningful impact on technical direction
- Opportunity to ship research into production
- Work on core model architecture
Skills/Tech-stack
Attention Mechanisms | Compute tradeoffs | Deep learning | JAX | Latency optimization | Machine Learning | Memory Management | Neural Networks | Optimization | PyTorch | Recurrent Neural Networks | Scaling Laws | State Space Models | State-Space | Training dynamics
Education
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